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Diffstat (limited to 'contrib/opencl_test/src/opencl_test.cc')
| -rw-r--r-- | contrib/opencl_test/src/opencl_test.cc | 252 |
1 files changed, 252 insertions, 0 deletions
diff --git a/contrib/opencl_test/src/opencl_test.cc b/contrib/opencl_test/src/opencl_test.cc new file mode 100644 index 000000000..5364e55d8 --- /dev/null +++ b/contrib/opencl_test/src/opencl_test.cc @@ -0,0 +1,252 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/******************************************************************************* + * Copyright (c) 2008-2015 The Khronos Group Inc. + * + * Permission is hereby granted, free of charge, to any person obtaining a + * copy of this software and/or associated documentation files (the + * "Materials"), to deal in the Materials without restriction, including + * without limitation the rights to use, copy, modify, merge, publish, + * distribute, sublicense, and/or sell copies of the Materials, and to + * permit persons to whom the Materials are furnished to do so, subject to + * the following conditions: + * + * The above copyright notice and this permission notice shall be included + * in all copies or substantial portions of the Materials. + * + * THE MATERIALS ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. + * IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY + * CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, + * TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE + * MATERIALS OR THE USE OR OTHER DEALINGS IN THE MATERIALS. + ******************************************************************************/ + +#include "arm_compute/core/CL/OpenCL.h" + +#include <iostream> +#include <vector> + +void printDeviceInfo(int n, cl::Device &device, cl::Device &default_device) +{ + bool is_default = (device() == default_device()); + std::cout << "\t\t\t#" << n << " Device: (id: " << device() << ") " + << (is_default ? " -> default" : "") << "\n"; + + const auto name = device.getInfo<CL_DEVICE_NAME>(); + std::cout << "\t\t\t\tName: " << name << "\n"; + + const auto compute_unit = device.getInfo<CL_DEVICE_MAX_COMPUTE_UNITS>(); + std::cout << "\t\t\t\tMax Compute Unit: " << compute_unit << "\n"; + + const auto max_work_item_size = device.getInfo<CL_DEVICE_MAX_WORK_ITEM_SIZES>(); + std::cout << "\t\t\t\tMax Work Item Size: ["; + for (auto size : max_work_item_size) + std::cout << size << ","; + std::cout << "]\n"; + + const auto max_work_group_size = device.getInfo<CL_DEVICE_MAX_WORK_GROUP_SIZE>(); + std::cout << "\t\t\t\tMax Work Grpup Size: " << max_work_group_size << "\n"; + + const auto max_clock_frequency = device.getInfo<CL_DEVICE_MAX_CLOCK_FREQUENCY>(); + std::cout << "\t\t\t\tMax Clock Frequency: " << max_clock_frequency << "\n"; + + std::cout << "\n"; +} + +void checkContextMem() +{ + // get context, devices + // + std::cout << "\nChecking if devices in GPU shares the same memory address:\n\n"; + + cl_int cl_error; + + cl::Platform platform = cl::Platform::getDefault(); + cl::Context context; + try + { + cl_context_properties properties[3] = { + CL_CONTEXT_PLATFORM, (cl_context_properties)platform(), 0 + }; + + context = cl::Context(CL_DEVICE_TYPE_GPU, properties, NULL, NULL, &cl_error); + } + catch (cl::Error &err) // thrown when there is no Context for this platform + { + std::cout << "\t\t No Context Found\n"; + return; + } + + std::cout << "\nDevices in GPU:\n\n"; + + auto devices = context.getInfo<CL_CONTEXT_DEVICES>(); + auto default_device = cl::Device::getDefault(); + + int d = 0; + for (auto device : devices) + printDeviceInfo(++d, device, default_device); + + if (d < 2) + { + std::cout << "\t\t This options works when there are n (>= 2) devices.\n"; + return; + } + + // allocate and map memory + + typedef cl_int T; + const int items_per_device = 128; + const int length = items_per_device * devices.size(); + + std::vector<T> input(length); + std::vector<T> output(length, 0); + + for (int i = 0; i < length; i++) + input[i] = i; + + cl::Buffer input_buf(context, (cl_mem_flags)CL_MEM_USE_HOST_PTR, length*sizeof(T), input.data(), &cl_error); + cl::Buffer output_buf(context, (cl_mem_flags)CL_MEM_USE_HOST_PTR, length*sizeof(T), input.data(), &cl_error); + + // compile test cl code + + std::string kernel_source { + "typedef int T; \n" \ + "kernel void memory_test( \n" \ + " const int dev_id, \n" \ + " global T* input, \n" \ + " global T* output, \n" \ + " const int start_idx, \n" \ + " const int count) \n" \ + "{ \n" \ + " int input_idx = get_global_id(0); \n" \ + " if(input_idx < count) \n" \ + " { \n" \ + " int output_idx = start_idx + input_idx; \n" \ + " output[output_idx] = input[input_idx] + dev_id; \n" \ + " } \n" \ + "} \n" + }; + + std::vector<std::string> programStrings {kernel_source}; + + cl::Program program(context, programStrings); + + try + { + program.build("-cl-std=CL1.2"); + } + catch (cl::Error &err) + { + cl_int buildErr = CL_SUCCESS; + auto buildInfo = program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(&buildErr); + for (auto &pair : buildInfo) { + std::cerr << pair.second << std::endl << std::endl; + } + } + + try + { + auto kernel_functor = cl::KernelFunctor<cl_int, cl::Buffer, cl::Buffer, cl_int, cl_int> + (program, "memory_test"); // name should be same as cl function name + + // create a queue per device and queue a kernel job + + std::vector<cl::CommandQueue*> queues; + + for (int dev_id = 0; dev_id < devices.size(); dev_id++) + { + cl::CommandQueue* que = new cl::CommandQueue(context, devices[dev_id]); + queues.emplace_back(que); + + kernel_functor( + cl::EnqueueArgs( + *que, + cl::NDRange(items_per_device)), + (cl_int)dev_id, // dev id + input_buf, + output_buf, + (cl_int)(items_per_device * dev_id), // start index + (cl_int)(items_per_device), // count + cl_error + ); + } + + // sync + + for (d = 0; d < devices.size(); d++) + (queues.at(d))->finish(); + + // check if memory state changed by all devices + + cl::copy(*(queues.at(0)), output_buf, begin(output), end(output)); + + bool use_same_memory = true; + + for (int dev_id = 0; dev_id < devices.size(); dev_id++) + { + for (int i = 0; i < items_per_device; ++i) + { + int output_idx = items_per_device * dev_id + i; + if (output[output_idx] != input[i] + dev_id) + { + std::cout << "Output[" << output_idx << "] : " + << "expected = " << input[i] + dev_id + << "; actual = " << output[output_idx] << "\n"; + use_same_memory = false; + break; + } + } + } + + if (use_same_memory) + std::cout << "\n=> Mapped memory addresses used by devices in GPU are same.\n\n"; + else + std::cout << "\n=> Mapped memory addresses used by devices in GPU are different.\n\n"; + + for (auto q : queues) + delete q; + } + catch (cl::Error &err) + { + std::cerr << "error: code: " << err.err() << ", what: " << err.what() << std::endl; + } +} + +void printHelp() +{ + std::cout << "opencl information: \n\n"; + std::cout << "\t -h : help\n"; + std::cout << "\t -g : print if memory map is shared among devices in GPU (in default platform)\n\n"; +} + +int main(const int argc, char **argv) +{ + if (argc < 2) + printHelp(); + else + { + std::string option = argv[1]; + + if (option == "-h") + printHelp(); + else if (option == "-g") + checkContextMem(); + } + return 0; +} |